Triple
T5081835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIAA Diamond certification |
E114529
|
entity |
| Predicate | hasLowerBound |
P7353
|
FINISHED |
| Object | 10000000 units |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 10000000 units | Statement: [RIAA Diamond certification, hasLowerBound, 10000000 units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerBound Context triple: [RIAA Diamond certification, hasLowerBound, 10000000 units]
-
A.
hasLowerBoundaryDefinedBy
Indicates that one entity’s lower limit, edge, or boundary is specified or determined by another entity.
-
B.
hasLower
Indicates that one entity is positioned at a lower level, rank, or value relative to another entity.
-
C.
hasMinimumValue
chosen
Indicates that an entity possesses a value that is the lowest permissible or observed within a specified set, range, or context.
-
D.
isUpperBoundFor
Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
-
E.
hasMaximumValue
Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74fb3df4819082bd8ae64e207ceb |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.